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received Hello packet, it knows that the router that transmitted that packet has seen it. Once this is accomplished, the DR and the BDR are selected. Any DR with a priority of 0 counts itself out of the selection. There is one DR and DBR per subnet or LAN segment. These packets are continually sent every Hello period specified in the packet. This is how a router can detect that another router is down (DeadInterval), which it uses to wait and build a new database with the Dykstra algorithm.

(a) Determine the rank of the above matrix, and use that to find the cyclic and systematic parity check matrices of the code, and its systematic generator matrix (b) Calculate the average number of 1s per row and column of the two parity check matrices, and hence calculate the rate of the code, confirming that it is the same in both cases, and also the same as the rate calculated from the dimensions of the parity check matrices What is the Hamming distance of the code (c) Sketch the Tanner graphs of the two parity check matrices and of the circulant matrix, and determine the length of the shortest cycle in each case Which graph might be best for decoding the code by means of the sum product algorithm 83 For the LDPC code of Problem 8.

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2, (a) Use the systematic generator matrix found in part (a) of Problem 82 to determine the codeword corresponding to the message vector m = (100) (b) The codeword of part (a) of this problem is transmitted over an AWGN channel in normalized polar format ( 1), and is received as the vector r = 10187 06225 20720 16941 13798 07431 02565 Using the sum product algorithm, decode this received vector on each of the three Tanner graphs found in part (c) of Problem 82, and comment on the processes and the results obtained 84 The block code Cb (5, 3) introduced in Example 7.

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1 in 7 has the following generator and parity check matrices: 1 0 1 0 0 1 0 1 0 1 G = 0 1 0 1 0 , H= 0 1 0 1 1 0 0 1 1 1 In that example the codeword c = (00000) is transmitted over a soft-decision channel, and the corresponding received vector is r = (10200) This soft-decision channel is described in 7, in Figure 76 and Table 72 (a) Decode the received vector using the SPA over the parity check matrix H to show that, after enough iterations, the decision of the decoder fluctuates between the two code vectors c = (00000) and c = (10100), which are the closest to the received vector r = (10200).

(b) Describe the deficiencies of the bipartite graph associated with the parity check matrix H of this code, with respect to the iterative passing of information..

plasma enzymes and meat drip loss Journal of the Science of Food and Agriculture 80(11):1617 1624 Pearson, A, and R Young 1989 Muscle and Meat Biochemistry San Diego, Calif: Academic Press Pradhan, A, K S Rhee, and P Hern ndez 2000 Stability of catalase and its potential role in lipid oxidation in meat Meat Science 54:385 390 Quinn, M J, C D Reinhardt, E R Loe, B E Depenbusch, M E Corrigan, M L May, and J S Drouillard 2008 The effects of ractopamine-hydrogen chloride (Opta exx) on performance, carcass characteristics, and meat quality of nishing feedlot heifers Journal of Animal Science 86(4):902 908 Rentfrow, G, M S Brewer, T R Carr, L A Berger, and F K McKeith 2004 The effects of feeding elevated levels of vitamins D3 and E on beef quality Journal of Muscle Foods 15(3):205 223 Rincker, P J, J.

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